{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# This allows multiple outputs from a single jupyter notebook cell:\n",
    "from IPython.core.interactiveshell import InteractiveShell\n",
    "InteractiveShell.ast_node_interactivity = \"all\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'0.24.2'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "pd.__version__  # for the record"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#import pickle\n",
    "import mplfinance as fplt\n",
    "import pandas as pd\n",
    "#df = pickle.load(open(\"issue236.df.data\", \"rb\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "#df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('issue236.df.scratchdata',index_col=0,parse_dates=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>vwap</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-08-11 04:00:00-04:00</th>\n",
       "      <td>336.93</td>\n",
       "      <td>337.13</td>\n",
       "      <td>336.93</td>\n",
       "      <td>337.05</td>\n",
       "      <td>15800.0</td>\n",
       "      <td>337.0059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-11 04:01:00-04:00</th>\n",
       "      <td>337.00</td>\n",
       "      <td>337.04</td>\n",
       "      <td>336.99</td>\n",
       "      <td>336.99</td>\n",
       "      <td>3330.0</td>\n",
       "      <td>337.0265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-11 04:02:00-04:00</th>\n",
       "      <td>336.84</td>\n",
       "      <td>336.85</td>\n",
       "      <td>336.84</td>\n",
       "      <td>336.85</td>\n",
       "      <td>4378.0</td>\n",
       "      <td>336.8499</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-11 04:04:00-04:00</th>\n",
       "      <td>336.84</td>\n",
       "      <td>336.84</td>\n",
       "      <td>336.79</td>\n",
       "      <td>336.79</td>\n",
       "      <td>400.0</td>\n",
       "      <td>336.8150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-11 04:07:00-04:00</th>\n",
       "      <td>336.88</td>\n",
       "      <td>336.89</td>\n",
       "      <td>336.88</td>\n",
       "      <td>336.88</td>\n",
       "      <td>40800.0</td>\n",
       "      <td>336.8898</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             Open    High     Low   Close   Volume      vwap\n",
       "Date                                                                        \n",
       "2020-08-11 04:00:00-04:00  336.93  337.13  336.93  337.05  15800.0  337.0059\n",
       "2020-08-11 04:01:00-04:00  337.00  337.04  336.99  336.99   3330.0  337.0265\n",
       "2020-08-11 04:02:00-04:00  336.84  336.85  336.84  336.85   4378.0  336.8499\n",
       "2020-08-11 04:04:00-04:00  336.84  336.84  336.79  336.79    400.0  336.8150\n",
       "2020-08-11 04:07:00-04:00  336.88  336.89  336.88  336.88  40800.0  336.8898"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2020-08-11 04:00:00-04:00', '2020-08-11 04:01:00-04:00',\n",
       "               '2020-08-11 04:02:00-04:00', '2020-08-11 04:04:00-04:00',\n",
       "               '2020-08-11 04:07:00-04:00'],\n",
       "              dtype='datetime64[ns, pytz.FixedOffset(-240)]', name='Date', freq=None)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['2020-08-11T08:00:00.000000000', '2020-08-11T08:01:00.000000000',\n",
       "       '2020-08-11T08:02:00.000000000', '2020-08-11T08:04:00.000000000',\n",
       "       '2020-08-11T08:07:00.000000000'], dtype='datetime64[ns]')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.index.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                             Open    High     Low   Close   Volume      vwap\n",
      "Date                                                                        \n",
      "2020-08-11 04:00:00-04:00  336.93  337.13  336.93  337.05  15800.0  337.0059\n",
      "2020-08-11 04:01:00-04:00  337.00  337.04  336.99  336.99   3330.0  337.0265\n",
      "2020-08-11 04:02:00-04:00  336.84  336.85  336.84  336.85   4378.0  336.8499\n",
      "2020-08-11 04:04:00-04:00  336.84  336.84  336.79  336.79    400.0  336.8150\n",
      "2020-08-11 04:07:00-04:00  336.88  336.89  336.88  336.88  40800.0  336.8898\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 600x431.25 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 600x431.25 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(df)\n",
    "fplt.plot(df,type='candle',style='charles',title='SPY',ylabel='Price ($)',figscale=0.75,tz_localize=False)\n",
    "fplt.plot(df,type='candle',style='charles',title='SPY',ylabel='Price ($)',figscale=0.75)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.12.7a3 /Users/Dino/code/mplfinance/src/mplfinance/__init__.py\n"
     ]
    }
   ],
   "source": [
    "print(fplt.__version__,fplt.__file__)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "ename": "SyntaxError",
     "evalue": "invalid syntax (<ipython-input-11-a6774c8535dd>, line 1)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;36m  File \u001b[1;32m\"<ipython-input-11-a6774c8535dd>\"\u001b[1;36m, line \u001b[1;32m1\u001b[0m\n\u001b[1;33m    STOP HERE\u001b[0m\n\u001b[1;37m            ^\u001b[0m\n\u001b[1;31mSyntaxError\u001b[0m\u001b[1;31m:\u001b[0m invalid syntax\n"
     ]
    }
   ],
   "source": [
    "STOP HERE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sdf = df['Close']\n",
    "sdf\n",
    "sdf.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "x = df.index.values\n",
    "y = df.Close.values\n",
    "x\n",
    "y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.plot(x,y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sdf.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "dts = sdf.index.to_pydatetime()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "type(dts)\n",
    "dts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for ix, d in enumerate(dts):\n",
    "    dts[ix] = d.replace(tzinfo=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "dts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "x = dts\n",
    "y = df.Close.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.plot(x,y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
